Citations

Objectives: A framework of high-reliability principles was used to identify, investigate, and mitigate infusion pump safety concerns at a large, multisite health care system. We developed a systematic approach to address challenges associated with overinfusions, underinfusions, and the inability to clear upstream occlusion alarms. We identified 112,875 upstream occlusion events for 389,604 infusion starts (failure rate, 29%) within 6 months. Methods: Five high-reliability principles were applied to infusion pump management. Preoccupation with failure emphasized reporting safety concerns and performing appropriate clinical and bench tests. Deference to expertise prompted the development of a multidisciplinary team with internal and external partners. Sensitivity to operations prompted assessment of human factors design, with simulations and analysis of medication-specific factors (e.g., viscosity; infusion rates). Reluctance to simplify prompted assessment of tubing characteristics (e.g., concentricity; wall thickness) with micro–computed tomography and process development for removing faulty equipment. Practice of resilience ensured ongoing engagement and commitment to a culture of safety and patient advocacy. Results: The multidisciplinary oversight team prompted a national recall, removal of malfunctioning pumps, and development of system-wide training and mitigation protocols. Despite ongoing pump challenges, our team optimized internal patient safety systems and processes. The cause of these malfunctions remains under investigation, but serious patient harm has been prevented. Conclusions: Key strategies for enhancing patient safety were continuous vigilance, interdisciplinary collaboration, and embracing complexity in a large health care organization. Future directions involve deeply integrating these high-reliability principles across all aspects of health care delivery to continue improving safety and quality outcomes.

Objective: To evaluate the feasibility and effectiveness of wrist-worn wearable devices combined with machine learning (ML) approaches for detecting a diverse array of seizure types beyond generalized tonic–clonic (GTC), including focal, generalized, and subclinical seizures. Materials and Methods: Twenty-eight patients undergoing inpatient video-EEG monitoring at Mayo Clinic were concurrently monitored using Empatica E4 wrist-worn devices. These devices captured accelerometry, blood volume pulse, electrodermal activity, skin temperature, and heart rate. Seizures were annotated by neurologists. The data were preprocessed to experiment with various segment lengths (10 s and 60 s) and multiple feature sets. Three ML strategies, XGBoost, deep learning models (LSTM, CNN, Transformer), and ROCKET, were evaluated using leave-one-patient-out cross-validation. Performance was assessed using area under the receiver operating characteristic curve (AUROC), seizure-wise recall (SW-Recall), and false alarms per hour (FA/h). Results: Detection performance varied by seizure type and model. GTC seizures were detected most reliably (AUROC = 0.86, SW-Recall = 0.81, FA/h = 3.03). Hyperkinetic and tonic seizures showed high SW-Recall but also high FA/h. Subclinical and aware-dyscognitive seizures exhibited the lowest SW-Recall and highest FA/h. MultiROCKET and XGBoost performed best overall, though no single model was optimal for all seizure types. Longer segments (60 s) generally reduced FA/h. Feature set effectiveness varied, with multi-biosignal sets improving performance across seizure types. Conclusions: Wrist-worn wearables combined with ML can extend seizure detection beyond GTC seizures, though performance remains limited for non-motor types. Optimizing model selection, feature sets, and segment lengths, and minimizing false alarms, are key to clinical utility and real-world adoption.

Autonomic medicine is a rapidly evolving field focused on understanding diseases and processes that affect the autonomic nervous system (ANS). The ANS regulates essential involuntary physiologic processes such as heart rate, blood pressure, and digestion. This review introduces the key anatomical structures, physiological mechanisms, and biochemical processes underlying autonomic function. The anatomy section focuses on the peripheral components of the ANS, including the sympathetic and parasympathetic divisions. The physiological section explores the process of homeostasis and the intricate feedback systems that maintain this balance within the body. Finally, the biochemistry of autonomic signaling, focusing on the neurotransmitters acetylcholine, norepinephrine, and epinephrine, and their receptors, is reviewed. Pertinent clinical points are highlighted throughout, emphasizing the importance of the basic science to the clinical world. This review aims to provide a comprehensive basic science foundation for clinicians and researchers exploring the field of autonomic medicine.

ABSTRACTWe describe a case of a 56‐year‐old male who developed severe, refractory hypotension after an intentional ingestion of clozapine and who became hemodynamically stable after one session of therapeutic plasma exchange (TPE). The patient, who presented after an ingestion of clozapine, was found to have altered mental status and hypotension in the emergency department. Escalating catecholamine vasoactive agents were necessary to maintain adequate hemodynamics. Angiotensin II was added and rapidly up titrated in efforts to maintain adequate blood pressure. Due to persistent hemodynamic instability despite four vasoactive agents, TPE was attempted to enhance the elimination of the highly protein bound medication. Within 2 h of completing TPE, the catecholamines and vasopressin were stopped, and angiotensin II dosing was significantly decreased. This is the first report of utilizing TPE as a method of enhanced elimination of a toxic clozapine ingestion resulting in severe hemodynamic compromise. Further study is necessary to determine if TPE should be incorporated into the care of patients experiencing clozapine toxicity.

ABSTRACT Background Flap complications following maxillectomy, reconstruction, and adjuvant proton beam therapy (PBT) for primary maxillary and sinonasal malignancies are not well described. Methods This retrospective cohort study included consecutive patients treated between 2016 and 2023 from a single‐institutional database. Results Thirteen patients were identified with a median follow‐up of 26 months. No immediate post‐operative complications occurred, with a median time between surgery and PBT of 61 days. Nine patients (69.2%) had high‐risk postoperative pathology and required 66+ Gy(RBE), including five (38.5%) with gross disease receiving 70 Gy(RBE). Flap necrosis and fistulization occurred in three patients (23.1%) following PBT (median time from PBT to complication, 112 days). Higher flap mean and minimum dose, flap volume receiving at least 66 Gy[RBE], and minimum dose to 50% flap volume were associated with complications. Conclusions Careful patient selection and planning strategies should be considered to mitigate flap complication risk following adjuvant PBT for high‐risk post‐operative pathology.

Background: Tumefactive demyelination (TD) is a rare variant of multiple sclerosis (MS) characterized by tumor-like lesions that often require aggressive management. Genome-wide association studies (GWAS) identified variants associated with MS; similar analyses in TD are lacking. Objective: A GWAS was performed to identify variants associated with TD. Methods: The case–control study included 142 TD cases and 293 controls. TD patients were required to have a demyelinating event and magnetic resonance imaging (MRI) showing one or more lesions. Controls were patients without a neurologic or systemic inflammatory disease or cancer. Logistic regression was used to compare cases versus controls for each variant; age, sex, and principal components were included as covariates. A p -value threshold of 5 × 10 −8 was GWAS significant and 5 × 10 −6 nominally significant. A polygenic risk score (PRS) was compared across TD and controls. Results: Variants on chromosome 14 (rs117797734, p = 2.06 × 10 −11 , odds ratio (OR) = 13.14) and chromosome 6 (most significant rs6936540, p = 5.5 × 10 −7 , OR = 2.61) near DCBLD1 were significant. Seven non-MHC and two MHC variants associated with MS were associated with TD. The PRS was significantly higher in TD versus controls. Conclusion: We identified novel regions associated with TD, demonstrating the importance of performing GWAS in homogeneous subtypes of MS. Further validation and functional experiments are necessary.

Abstract Valvular heart disease (VHD) is emerging as the next major epidemic in cardiovascular care, driven by the ageing population. The advent of less invasive alternatives to surgery—namely, transcatheter therapies—has revolutionized patient management, while simultaneously introducing new layers of complexity. Artificial intelligence (AI) holds significant promise to transform the care of patients with VHD across all dimensions, including diagnosis, prognostication, disease progression, and therapeutic decision-making. In this review, we provide a comprehensive overview of the current evidence, and discuss the challenges, risks, and future directions associated with the integration of AI in the management of VHD.

ABSTRACT Objective To compare maternal and neonatal adverse outcomes between women who are English proficient (EP) and those who have limited English proficiency (LEP). Design Retrospective cohort study. Setting Single US academic medical centre with interpreter services. Population All pregnant women with deliveries during the study period. Methods We retrospectively identified EP and LEP individuals (categorised by self‐report) who delivered at Mayo Clinic, Rochester, Minnesota, USA, from 2015 to 2019. Overall composite adverse outcomes, as well as maternal and neonatal composite outcomes, were measured with generalised linear models and logistic regression, reporting estimates and 95% CIs. Multivariable logistic regression analysis was used to assess associations between language proficiency and outcome measures while controlling for other clinical factors. Main Outcome Measures Composite overall, maternal and neonatal adverse outcomes. Results Among 10 427 EP and 900 LEP participants, the LEP group had a higher incidence of gestational diabetes, unplanned intensive care unit admission, uterine rupture, postpartum haemorrhage with transfusion, neonatal death and 5‐min Apgar score less than 7. The composite overall, maternal and neonatal adverse outcomes were more prevalent in the LEP group than the EP group in unadjusted analysis. Of these, the composite adverse outcome remained significant when the model was adjusted (odds ratio, 1.40; 95% CI, 1.03–1.90). Conclusions Pregnant women with LEP had increased incidence of adverse delivery outcomes, even in a setting with universal availability of medical interpreters.

Abstract Obesity is a major and growing driver of cardiovascular disease (CVD) in the United States, contributing to hypertension, diabetes, dyslipidemia, and structural cardiac changes that elevate the risk of ischemic heart disease, heart failure, and stroke. After decades of declining CVD mortality, recent national trends show a concerning reversal, coinciding with record-high obesity prevalence. We quantified national trends and disparities in obesity-related CVD mortality from 1999–2020 using de-identified death certificate data from the CDC WONDER database for U.S. residents aged 15–84 years, including deaths with circulatory disease (ICD-10 I00–I99) as the underlying cause and obesity (E66.0–E66.9) as a contributing cause. Age-adjusted mortality rates (AAMR) standardized to the 2000 U.S. population were analyzed using joinpoint regression to estimate annual percent change (APC) and detect inflection points. From 1999–2018, AAMR rose from 2.75 to 6.61 per 100,000 (APC 4.79%; 95% CI 4.60–4.98), followed by a significant post-2018 acceleration (APC 11.05%; 95% CI 6.76–15.51) to 8.36 in 2020. Mortality was highest among adults 65–74 years, males, Black Americans, and nonmetropolitan residents, with a 5.1-fold state variation. Young adults (15–24 years) had the largest relative increase (+210%). The 2020 surge was independent of COVID-19 mortality, indicating gaps in chronic disease management. These results highlight a growing obesity-related CVD mortality burden, with widening disparities by age, sex, race, and geography, emphasizing urgent, equity-focused prevention and targeted interventions.

Abstract Background & Aims Pregnancy can be a complex and risk-filled event for women with inflammatory bowel disease (IBD). High-quality studies in this population are lacking, with limited data on medications approved to treat IBD during pregnancy. For patients, limited knowledge surrounding pregnancy impacts pregnancy rates, medication adherence, and outcomes. Limited provider knowledge leads to highly varied practices in care affected by local dogma, available resources, individual interpretation of the literature, and fear of harming the fetus. The variations in guidelines by different societies and countries reflect this and lead to confusion for physicians and patients alike. The Global Consensus Consortium is a group of 39 IBD and content experts and 7 patient advocates from 6 continents who convened to review and assess current data and come to an agreement on best practices based on these data. Methods The GRADE (Grading of Recommendations Assessment, Development, and Evaluation) process was used when sufficient published data were available and the RAND (Research and Development) process in those instances where expert opinion was needed to guide consistent practice. Recommendations were informed by the guiding principle that maternal health best supports infant health. Results The topics were divided into ten categories with 34 GRADE recommendations and 35 consensus statements. Conclusions Overall, the goal of the group was to provide data-driven and practical guidance to improve the care of women with IBD around the globe based on the best available research.